Data Engineer

5 days ago

Pune, India Neemtree Tech Hiring Full time

Description : Role Summary :We are seeking a highly skilled Data Engineering professional with strong expertise across SQL, Data Warehousing, ETL, BI, DevOps, and CI/CD, and proven experience in core banking system implementations and regulatory reporting data pipelines. The ideal candidate will be hands-on with modern and traditional ETL tools, messaging platforms, big-data processing frameworks, and reporting tools. Experience working in banks or financial institutions is essential.Key Responsibilities : 1. Data Engineering & ETL :- Design, build, and optimize ETL workflows for data extraction from Core Banking Systems (CBS) for regulatory and analytics use cases.- Develop ingestion pipelines using Apache NiFi, Airflow, SSIS, Informatica, Python, PySpark, and Databricks.- Integrate streaming/messaging frameworks using Kafka and RabbitMQ.- Ensure high availability, performance, and data reliability across all pipelines.2. Data Warehousing & Modelling :- Build and manage enterprise data warehouse layers (staging, integration, semantic).- Perform dimensional modelling, factdimension design, and data vault modelling where applicable.- Optimize schema designs for performance and scalability across SQL and big-data environments.3. SQL & Database Development :- Write highly optimized SQL queries and stored procedures for data transformation and validation.- Work extensively with SQL Server, MySQL, and Oracle.- Conduct performance tuning, indexing strategies, and query plan optimization.4. Big Data & Distributed Processing :- Work with Databricks, PySpark, and distributed data processing frameworks.- Build scalable data transformation pipelines for large datasets.5. BI, Reporting & Visualization :- Support the BI layer by building clean, reliable datasets for regulatory and management reporting.- Develop dashboards and visualizations using Power BI.- Work with reporting teams to ensure data accuracy and alignment with end-user requirements.6. DevOps & CI/CD :- Implement CI/CD pipelines using tools like Azure DevOps, Git, Jenkins, or equivalent.- Manage automated deployments, version control, testing, and environment management.- Ensure secure and efficient deployment of ETL and data engineering components.7. Banking Domain Expertise- Work closely with finance, risk, compliance, and operations teams.- Experience with core banking systems (T24, Finacle, Flexcube, etc.) is mandatory.- Develop and support data pipelines for regulatory reporting (CBUAE, SAMA, QCB, BASEL, IFRS, ALM, liquidity, credit risk, etc.).Required Skills : - Databases : SQL Server, Oracle, MySQL- ETL Tools : Apache NiFi, Airflow, SSIS, Informatica- Big Data & Engines : Databricks, PySpark- Messaging : Kafka, RabbitMQ- Programming : Python (must), Java (preferred)- Reporting : Power BI- Data Warehousing : Star schema, snowflake schema, dimensional modelling- DevOps/CI/CD : Git, Jenkins, Azure DevOps or similar- NoSQL/Graph DBs : Nice to have (MongoDB, Neo4j, etc.)- Banking Domain : Core banking system data, regulatory reportingExperience : - 47 years of professional experience in data engineering, ETL, BI, DevOps, and SQL development.- Mandatory experience working with banks, core banking systems, and regulatory reporting frameworks. (ref:hirist.tech)

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